Keynote & Plenary Speakers

Prof. CAO JIANNONG

The Hong Kong Polytechnic
University, Hong Kong (香港理工大学)

Biography: Professor Jiannong Cao is
a chair professor of the Department of Computing at The Hong Kong
Polytechnic University. He is also the director of the Internet and
Mobile Computing Lab in the department. Before joined The Hong Kong
Polytechnic University in 1997, he has been on faculty of computer
science in James Cook University and The University of Adelaide in
Australia, and the City University of Hong Kong. Professor Cao is
currently an adjunct professor ofSun Yat-Sen University. He also held
several adjunct and visiting positions, including an adjunct chair
professor of Central South University; an adjunct professor of National
University of Defense Technology, Northeastern University, Shanghai Jiao
Tong University, Northwest Polytechnic University, and Beijing Jiaotong
University; a guest professor of Shenzhen University; a visiting
research professor in the National Key Lab for Novel Software
Technology, Nanjing University of China; a visiting fellow in the School
of Computer Science and Engineering, Nanyang Technological University of
Singapore; a visiting scholar of the Institute of Software at Chinese
Academy of Science, and Peking University Overseas Scholar Lecture
Program.
Professor Cao’s research interests include parallel and distributed
computing, wireless networks and mobile computing, big data and cloud
computing, pervasive computing, and fault tolerant computing. He has
co-authored 5 books in Mobile Computing, co-edited 9 books, and
published over 500 papers in major international journals and conference
proceedings (including top journals IEEE Network, TC, TMC, TPDS, TWC,
TDSC, JSAC, TCOM, TSE; ACM TOSN, TOIT, TAAS; and PMCJ, TON, JPDC, and
top conferences INFOCOM, ICNP, PERCOM, WWW, DSN, ICDCS, SRDS).

Prof. Hayato YAMANA

Waseda University, JAPAN

Biography: Hayato YAMANA received his
Dr. Eng. degree at Waseda University in 1993. He began his career at the
Electrotechnical Laboratory (ETL) of the former Ministry of
International Trade and Industry (MITI), and was seconded to MITI's
Machinery and Information Industries Bureau for a year in 1996. He was
subsequently appointed Associate Professor of Computer Science at Waseda
University in 2000, and has been a professor since 2005. From 2003 to
2004, he was IEEE Computer Society Japan Chapter Chair. Since 2015, he
has been director of IPSJ (Information Processing Society of Japan) and
vice chairman of information and communication society of IEICE (the
institute of electronics, information and communication engineers). At
Waseda University, he has been deputy Deputy Chief Information Officer
and WasedaX project director since 2015. His research area is big data
analysis. Currently, his group engages in Japanese government funded
project called “Secure Data Sharing and Distribution Platform for
Integrated Big Data Utilization - Handling all data with encryption.”
For more information, please refer to
http://www.yama.info.waseda.ac.jp/crest/

Title of Speech: Fully Homomorphic
Encryption in Cloud Computing

Abstract: In this talk, I will pick
up a privacy issue that effects to our society followed by introducing
secure computation using fully homomorphic encryption (FHE) in cloud
computing. IDC reported that “At least 40 percent of big data requires
some level of security, from privacy protection to full-encryption.”
Especially, medical information should be kept strictly secured. To
handle such sensitive data, FHE is one of the key technology to realize
secure computation, i.e., handling all data with encryption throughout
the data life cycle. Curranty, we are engaged in Japanese government
awarded project called “Secure Data Sharing and Distribution Platform
for Integrated Big Data Utilization” which continues until March, 2021.
Our final goal is to speed-up encrypted calculation over 1,000 times
over current methods by theoretical and computer architecture
optimization-approaches. Although the bottleneck of FHE is large time
and space complexity, we have successfully achieved over 400 times
speed-up for data mining in comparison with the state-of-the-art method.
Besides, we have implemented a secure search technique without leaking
any information to cloud servers. In this talk, we will introduce its
current status and the future direction of secure computation.

Prof. Hongwei Du

California State University, East
Bay, USA (加州州立大学东湾校区)

Biography: Professor Hongwei Du is
the Coordinator of Information Technology Management Program in the
College of Business and Economics at California State University, East
Bay. He holds a Ph.D. in Operations Research from Florida Institute of
Technology, a M.S. in Computer Science from Bowling Green State
University and a M.S. in System Engineering from Beijing Institute of
Automation. His works have been published in the California Journal of
Operations Management, the European Journal of Information Systems, the
International Journal of Innovation and Learning, the International
Journal of Intercultural Information Management, the International
Journal of Information and Decision Science, the International Journal
of Electronic Healthcare, the Journal of Economic Studies, and the
International Review of Business Research Papers.

Title of Speech: Professional Sports
meet Big Data

Prof. Neil Bergmann

University of Queensland,
Australia

Biography:Neil W. Bergmann
has been Professor of Embedded Systems in the School of Information
technology and Electrical Engineering at the University of Queensland,
Brisbane, Australia since 2001. He has bachelor degrees in electrical
engineering and computer science from University of Queensland, and a
PhD in Computer Science from University of Edinburgh, UK, in 1984. His
research interests are in computer systems, wireless sensor networks,
and in understanding the data streams that those sensors collect. He is
a member of IEEE, and a Fellow of the Institution of Engineers,
Australia.

Abstract: Technology trends such as Internet-of-Things, Cloud Computing, Big Data, Machine Learning and Data Analytics all affect our understanding of the world. These trends mean that an enormous amount of data is captured from people’s everyday interactions with digital systems, a proportion of that data is stored, and an even smaller amount of that data is analysed to gain useful social insights.
Human mobility within cities and between cities is an area of increasing interest. People follow regular patterns of movement from home to work, home to shopping, home to school, etc. However human mobility also includes aspects of randomness, as people visit new locations, attend special events or simply explore their environment. Understanding both the regularity and randomness of movement can provide insights that are useful for transport planning, infrastructure management, disease control, and emergency responses.
This talk will look at some of the data sources that can be used for monitoring location and mobility, and also some of the insights that can be gained from analysis of this data. This work will include a summary of some of the work done in this area by our research students at University of Queensland.

Prof. Nen-Fu Huang

National Tsing Hua University,
Taiwan

Biography: Nen-Fu (Fred) Huang
received the Ph.D. degree in computer science from National Tsing Hua
University (NTHU), Taiwan, in 1986. He is now serving as the Dean of
College of Electrical Engineering and Computer Science, NTHU. From
1997-2000, he was the Chairman of Department of Computer Science, NTHU
and since 2008, he is a Distinguished Professor of NTHU. From 2015-2016,
he was the director of Computer and Communication Research Center (CCRC)
of NTHU.
His current research interests include Internet of Things (IoT) sensor
networks, network security, SDN/NFV networks, MOOCs (Massive Open Online
Courses) platform and learning behavior analysis , and network
applications/flows identification technologies.
He received the Outstanding Teaching Award from the NTHU in 1993, 1998,
and 2008, the Outstanding University/Industrial Collaboration Award from
Ministry of Education, Taiwan in 1998, and Outstanding IT people Award
from ITmonth, ROC in 2002. He received the Technology Transfer Award
from National Science Council (NSC) of Taiwan in 2004. He received the
Technology Creative Award from Computer and Communication Research
Center (CCRC), NTHU in 2005, and the Outstanding University/Industrial
Collaboration Award from the NTHU in 2010. He is the founder of Broadweb
Corp., (www.broadweb.com) and from 2002 to 2006, he served as the
CEO/Chairman of Broadweb, which was acquired by TrendMicro in 2013. He
is also the founder of NetXtream Corp. (www.netxtream.com), a company
developing MOOCs platform and providing MOOCs service
(http://www.sharecourse.net). Dr. Huang has published more than 200
journal and conference papers, including more than 25 IEEE/ACM
Transactions papers and 50 papers in IEEE INFOCOM/ICC/GLOBECOM flag-ship
conferences. Dr. Huang also has granted/pending more than 50 patents. He
is a senior member of the IEEE.

Assoc. Prof. Simon Fong

University of Macau, Macau

Biography: Simon Fong graduated from
La Trobe University, Australia, with a 1st Class Honours BEng. Computer
Systems degree and a PhD. Computer Science degree in 1993 and 1998
respectively. Simon is now working as an Associate Professor at the
Computer and Information Science Department of the University of Macau.
He is a co-founder of the Data Analytics and Collaborative Computing
Research Group in the Faculty of Science and Technology. Prior to his
academic career, Simon took up various managerial and technical posts,
such as systems engineer, IT consultant and e-commerce director in
Australia and Asia. Dr. Fong has published over 396 international
conference and peer-reviewed journal papers, mostly in the areas of data
mining, data stream mining, big data analytics, meta-heuristics
optimization algorithms, and their applications. He serves on the
editorial boards of the Journal of Network and Computer Applications of
Elsevier, IEEE IT Professional Magazine, and various special issues of
SCIE-indexed journals.

Abstract: Emergency control is a
crucial part of smart city initiatives. Based on IoT technology, for
example, fire disasters can be better managed if the sensing and
analytics could be supported in real-time and in large scale. This type
of networks must be scalable and (in case of urgency) the priority
information transfer within, the decision making that are delegated at
the device edges and at the backend must be fast enough for efficiently
covering areas of various sizes, from a single room to a whole city, and
even national-wide. In this talk, a new research project called
Internet-of-Breath (IoB) which is a typical application scenario of IoUT
is introduced as a solution to disaster control using Wireless Sensor
Network, for enhancing fire-and-rescue operations with real-time
information of the air quality (toxic gas) and human presence at the
proximity of the fire-site. Though IoB can be useful in emergency
scenario, IoB would be a useful tool in detecting human occupancy in a
confined area. It can estimate approximate head-counts by inferring from
the size of a room and the measured CO2 concentration level inside the
room. Based on the previous experiences of SafetyNET by Professor Yang
Shuanghua (Ref:
http://www.lboro.ac.uk/microsites/enterprise/safetynet) which is a
successful project led by Loughborough University UK and Southern
University of Science and Technology Shenzhen, the team extends the
capacity of the SafetyNET sensor with the additional capability of CO2
concentration measurement for IoB. With this new sensing capability, new
information such as human occupancy can be measured. By knowing whether
and how many people exist at the fire site and its nearby locations,
extra intelligence can be obtained in addition to toxic gas, fire
severity etc; this will greatly help FRS operations. Under non-urgent
conditions, with the human occupancy information, we are able to design
and build prototypes of applications for different scenarios that can
benefit from knowing the human occupancy in real-time, through the IoB
wireless sensing network. Integration of this new information on
existing WSN data and systems will be presented. R&D possibilities and
challenges of new applications based on human occupancy detection will
be discussed in this talk.